我正在使用networkd3中的r软件包来创建一个 基于以下示例的sankeynetwork图:https://christophergandrud.github.io/networkD3/
这是我的代码:
# Load Packages
library(dplyr)
library(networkD3)
# Read data
a0 <-
read.table(header = TRUE, stringsAsFactors = FALSE, text =
"from to value
page1/page3 page1/page5/page6/page7 1589
page1/page3 page1/page3 1172
page1/page4/page5/ page1/page3 929
page1/page4/page5/ page1/page4/page5/ 834
page1/page5/page6/page7 page1/page4/page5/ 557
page1/page5/page6/page7 page2/page8/page9/page11 546
page1/page3 page1/page10/page5/page6/ 400
page1/page10/page5/page6/ page2/page8/page9/page11 373
page2/page8/page9/page11 page1/page4/page5/ 296
page1/page4/page12/page13/page14 page1/page4/page12/page13/page15 282")
# Get list of distinct variable names, which are needed for nodes
nodes <- data.frame(name = unique(c(a0$from, a0$to)))
# Create Nodes data frame
nodes$id <- 0:(nrow(nodes) - 1)
# Create Links data frame
links <- a0 %>%
left_join((nodes %>% select(name, id)),
by = c("from" = "name")) %>%
left_join((nodes %>% select(name,id)),
by = c("to"="name")) %>%
rename(source = id.x, target = id.y) %>%
select(-from,-to)
# Drop ID
nodes <- nodes %>% select(-id)
# Plot
sankeyNetwork(Links = links, Nodes = nodes, Source = 'source',
Target = 'target', Value = 'value', NodeID = 'name',
units = 'TWh', fontSize = 12, nodeWidth = 30, iterations = 0)
这是生成的Sankey图:
有什么方法可以迫使我的网络从左到右顺畅流动,以匹配我在顶部提供的示例链接?我尝试删除自循环(即from = to),但仍然得到类似的结果。
答案 0 :(得分:1)
您需要删除周期性链接(源节点位于目标节点的下游)。
一种非常简单的方法是links <- links[links$source < links$target, ]
例如...
# Load Packages
library(dplyr)
library(networkD3)
# Read data
a0 <-
read.table(header = TRUE, stringsAsFactors = FALSE, text =
"from to value
page1/page3 page1/page5/page6/page7 1589
page1/page3 page1/page3 1172
page1/page4/page5/ page1/page3 929
page1/page4/page5/ page1/page4/page5/ 834
page1/page5/page6/page7 page1/page4/page5/ 557
page1/page5/page6/page7 page2/page8/page9/page11 546
page1/page3 page1/page10/page5/page6/ 400
page1/page10/page5/page6/ page2/page8/page9/page11 373
page2/page8/page9/page11 page1/page4/page5/ 296
page1/page4/page12/page13/page14 page1/page4/page12/page13/page15 282")
# Get list of distinct variable names, which are needed for nodes
nodes <- data.frame(name = unique(c(a0$from,a0$to)))
# Create Nodes data frame
nodes$id <- 0:(nrow(nodes) - 1)
# Create Links data frame
links <- a0 %>%
left_join((nodes %>% select(name,id)),
by = c("from" = "name")) %>%
left_join((nodes %>% select(name,id)),
by = c("to"="name")) %>%
rename(source = id.x, target = id.y) %>%
select(-from,-to)
# Drop ID
nodes <- nodes %>% select(-id)
# remove cyclical links (source node is downstream from target node)
links <- links[links$source < links$target, ]
# Plot
sankeyNetwork(Links = links, Nodes = nodes, Source = 'source',
Target = 'target', Value = 'value', NodeID = 'name',
units = 'TWh', fontSize = 12, nodeWidth = 30, iterations = 0)